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Business Development Executive Jobs in Delhi,Faridabad,Gurgaon - SNA FINANCE

Business Development Executive

SNA FINANCE
experience-icon 0 Years
salary-icon 12000 - 15000 Monthly
Expired

Posted: 18 May 18

Job Description

  • Collect the database of potential customers through online research and data mining. 
  • Reach out to C-level executives via phone or email to schedule meeting. 
  • Build a strong professional relationship with decision makers in key accounts. 
  • Build a strong professional network for business development through online and offline tools. 
  • Prepare consumers, competitors, and marketplace and consolidate information into actionable items, reports, and presentations. 
  • Remain fully informed on market trends, other parties researches and implement best practices. 
Required Experience, Skills and Qualifications 
  • Should have qualities of time management and patience. 
  • Should have an attitude that is well approachable by client and understanding their problems.
  • Candidate must have basic technical knowledge and should be familiar with IT technologies. 
  • Coordination with clients and team along with timeline.

Job Particulars

Education BA, M.Com, MA, BBA/BBM, MBA/PGDM, BSc, MSc
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id423178
Job Category MBA , BSc/BCA/BBM
Locality Address
Country India

About Company

SNA FINANCE is a credit scoring analytics based online loan marketplace, facilitating personal loan, business loan, home loan, car loan, education loan and other financial products. Our platform enables customers to search the product, compare quotes and select offers from various lending institutions and apply online. The Company simplified process of submitting documents online for quick approval and disbursal through a fully automated process. Our proprietary credit scoring model connects the customer with only those lenders who would like to extend loan to avoid later stage loan application rejection. SNA FINANCE leverages proprietary technology platform uses big data, machine learning algorithms, accounting data, online sales, shipping data, aggregation and electronic payment technology to analyse the credit worthiness of no credit or low credit profile customers to identify and apply loans within minutes.
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